This is a step-by-step walkthrough for onboarding to OpenAI Codex. It covers installing the CLI and VS Code extension, configuring your workflow with agents.md and config.toml, and applying effective prompting patterns. The session also dives into advanced use cases, including integrating external tools via MCPs, running Codex programmatically in headless mode, and building multi-agent systems with the Agents SDK.
A step-by-step walkthrough on getting started with OpenAI's Codex. This guide covers installation of the CLI and VS Code extension, configuration using `agents.md` and `config.toml`, effective prompting patterns, and advanced workflows like using the Model-Connectable Protocol (MCP) and the OpenAI Agents SDK for programmatic automation.
Max Kanat-Alexander explores the rapid changes in software engineering driven by AI and identifies 'no-regrets investments' that will benefit development teams regardless of the future. He argues that by focusing on foundational developer experience principles—such as standardizing tools, improving validation, structuring code for testability, and refining the code review process—organizations can create a virtuous cycle of productivity for both human developers and their AI agent counterparts.
A hands-on walkthrough of Codex, now a single, unified agent across your IDE, CLI, and GitHub. This summary covers new features like the IDE extension, automated code review, and best practices for delegating tasks to the local and cloud agent for a more efficient development workflow.
Paul Slaughter, creator of Conventional Comments, and Adrienne Braganza Tacke discuss how a structured, empathetic approach to feedback can transform code reviews from frustrating processes into productive collaborations. They explore the philosophy behind labeling comments, the importance of fostering collaborative ownership, and practical strategies for maintaining both politeness and efficiency in asynchronous, remote environments.